Abstract
In this paper, we present a new approach to the Direct Torque Control (DTC) problem of three-phase induction motor drives. This approach is based on Model Predictive Control (MPC) exploiting the specific structure of the DTC problem and using a systematic design procedure. Specifically, by observing that the DTC objectives, which require the controlled variables to remain within certain bounds, are related to feasibility rather than optimality, and by using a blocking control inputs regime for the whole prediction horizon we derive a low complexity controller. The derived controller is an explicit state-feedback control law that can be implemented as a look-up table. Even though the controller is derived here for a DTC drive featuring a two-level inverter, the control scheme can be extended to also tackle three-level inverters. Simulation results demonstrate that the proposed controller leads to performance improvements despite its simple structure.
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References
ABB Asea Brown Boveri Ltd. Product webpage of ACS 6000. Online document: http://www.abb.com/motors&drives
Baotić, M., Torrisi, F.D.: Polycover. Technical Report AUT03-11, Automatic Control Laboratory ETH Zurich (2003), http://control.ee.ethz.ch/
Bertsekas, D.P.: Dynamic Programming and Optimal Control. Athena Scientific (1995)
Geyer, T., Papafotiou, G., Morari, M.: Direct torque control for induction motor drives: A model predictive control approach based on feasibility. Technical Report AUT04-09, Automatic Control Laboratory ETH Zurich (2004), http://control.ee.ethz.ch/
Geyer, T., Torrisi, F.D., Morari, M.: Efficient mode enumeration of compositional hybrid systems. In: Maler, O., Pnueli, A. (eds.) HSCC 2003. LNCS, vol. 2623, pp. 216–232. Springer, Heidelberg (2003)
Krause, P.C.: Analysis of Electric Machinery. McGraw-Hill, NY (1986)
Kvasnica, M., Grieder, P., Baotić, M., Morari, M.: Multi parametric toolbox (MPT). In: Alur, R., Pappas, G.J. (eds.) HSCC 2004. LNCS, vol. 2993, pp. 448–462. Springer, Heidelberg (2004), http://control.ee.ethz.ch/~mpt
Maciejowski, J.M.: Predictive Control. Prentice-Hall, Englewood Cliffs (2002)
Papafotiou, G., Geyer, T., Morari, M.: Optimal direct torque control of three-phase symmetric induction motors. Technical Report AUT03-07, Automatic Control Laboratory ETH Zurich (2003), http://control.ee.ethz.ch/
Papafotiou, G., Geyer, T., Morari, M.: Optimal direct torque control of three-phase symmetric induction motors. In: Proceedings of the 43th IEEE Conference on Decision and Control, Atlantis, Bahamas (December 2004)
Pohjalainen, P., Tiitinen, P., Lulu, J.: The next generation motor control method - direct torque control, DTC. In: Proceedings of the European Power Electronics Chapter Symposium, Lausanne, Switzerland, vol. 1, pp. 115–120 (1994)
Sontag, E.D.: Nonlinear regulation: The piecewise linear approach. IEEE Transactions on Automatic Control 26(2), 346–358 (1981)
Takahashi, I., Noguchi, T.: A new quick response and high efficiency control strategy for the induction motor. IEEE Transactions on Industry Applications 22(2), 820–827 (1986)
Takahashi, I., Ohmori, Y.: High-performance direct torque control of an induction motor. IEEE Transactions on Industry Applications 25(2), 257–264 (1989)
Torrisi, F.D., Bemporad, A.: Hysdel — a tool for generating computational hybrid models for analysis and synthesis problems. IEEE Transactions on Control Systems Technology 12(2), 235–249 (2004)
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Geyer, T., Papafotiou, G. (2005). Direct Torque Control for Induction Motor Drives: A Model Predictive Control Approach Based on Feasibility. In: Morari, M., Thiele, L. (eds) Hybrid Systems: Computation and Control. HSCC 2005. Lecture Notes in Computer Science, vol 3414. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-31954-2_18
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DOI: https://doi.org/10.1007/978-3-540-31954-2_18
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